This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous...

This document presents the different ways to model heterogeneity in case of clustering, such pupils achievement in classroom or schools. In the linear framework, it essentially discusses the pertinence of fixed or random effects assumptions depending upon the goal pursued and the empirical...

EQ-5D is used in cost-e ectiveness studies underlying many important health policy decisions. It comprises a survey instrument generating a description of health states across ve domains, and a system of utility values for each state. The original 3-level version of EQ-5D is being replaced with...

EQ-5D is used in cost-e ectiveness studies underlying many important health policy decisions. It comprises a survey instrument generating a description of health states across ve domains, and a system of utility values for each state. The original 3-level version of EQ-5D is being replaced with...

We propose in this article a Composite Logistic Regression (CLR) approach for ordinal panel data regression. The new method transforms the original ordinal regression problem into a number of binary ones. Thereafter, the method of conditional logistic regression (Chamberlain, 1984; Wooldridge, 2001;...

In medicine, it is often useful to stratify patients according to disease risk, severity, or response to therapy. Since many diseases arise from complex gene–gene and gene–environment interactions, patient strata may be defined by combinations of genetic and environmental factors....